FocusPoint is partnering with a confidential enterprise client seeking a Senior Data Scientist to lead hands-on development of machine learning and advanced analytics solutions that improve operational performance, reliability, efficiency, and decision-making across complex industrial environments.
This role is ideal for a senior practitioner who thrives in real-world settings, works independently across the full analytics lifecycle, and knows how to turn imperfect operational data into models that deliver measurable business value.
Position SummaryThe Senior Data Scientist will collaborate with engineering, operations, and business teams to identify high-impact analytical opportunities, explore data, build predictive models, and deliver insights that drive meaningful outcomes. This position is focused on hands-on analytics, experimentation, and model development. It does not involve building enterprise ingestion pipelines or managing a team.
Key ResponsibilitiesPartner with cross-functional stakeholders to identify and prioritize high-value analytical problems
Translate operational challenges into predictive, statistical, or optimization models
Perform data discovery, exploratory analysis, cleansing, transformation, and feature engineering
Build, validate, and refine machine learning models using large, complex datasets
Collaborate with Data Engineering teams to productionize validated models
Monitor model performance, detect drift, and support retraining cycles
Communicate insights clearly to both technical and non-technical audiences
7+ years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics
Experience applying ML and statistical techniques within industrial, engineering, manufacturing, or operational environments
Proven ability to deploy models that deliver measurable business outcomes
Strong capability to work independently with incomplete or imperfect datasets
Experience partnering with Data Engineering teams to scale analytical solutions
Hands-on experience with operational, sensor, process, maintenance, supply chain, or other complex enterprise datasets
Tools & Platforms
Azure (Data Factory, Synapse, Data Lake, ML), Databricks, Spark/PySpark
Python: Pandas, NumPy, SciPy, Scikit-Learn, Statsmodels
Machine learning frameworks: XGBoost, LightGBM, TensorFlow, PyTorch
Time-series forecasting, optimization, simulation modeling
Power BI, Plotly, Matplotlib, Seaborn
Git/GitHub, CI/CD, model monitoring, versioning, API development
Industrial & Enterprise Data
Experience with historian systems, SCADA/DCS platforms, IoT telemetry, reliability systems, or enterprise operational data sources
Experience with ERP or asset management data
The ideal candidate excels in environments where they can:
Work directly with operators, engineers, and business leaders
Move quickly from exploration to modeling to deployment
Build models that solve real operational problems
Communicate clearly and drive measurable outcomes
Thrive in ambiguity and imperfect data conditions
Why Work with FocusPoint
As a trusted staffing partner to industry-leading companies, FocusPoint provides access to roles that align with your professional goals, and we advocate for your success throughout the recruitment process. Our team understands appropriate skillsets and takes a consultative approach ensuring that each match is grounded in both experience and fit.
How to Apply
To ensure confidentiality and alignment with our client's hiring process, all applications must be submitted through FocusPoint. Please do not attempt to contact the client directly. Interested candidates should reach out to FocusPoint's recruitment team with any questions.
| Location | Brentwood, TN (Remote) |
| Salary | $70–$85 |
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